Omnitable is a smart, touch-based informational dashboard that redefines the conventional tabletop by integrating technology, AI, and gesture recognition. This innovative system embeds a computer within a table, providing users with essential data and computed information in one place while minimizing digital distractions. The dashboard offers basic information such as time, date, and weather forecasts, alongside personalized data including daily schedules, commute times between preset locations, sports and health information recorded on the user’s mobile device and fitness tracker via the Strava app, and to-do lists synced with the Todoist app. Additionally, Omnitable tracks users' financial interests by monitoring their equity portfolios and cryptocurrency holdings.

MagicMirror is a smart dashboard based on Raspberry Pi that transforms a conventional mirror into a smart mirror, offering a wealth of daily life information. It provides users with their daily schedules, interactive AI smart assistant capabilities through Alexa, traffic and weather updates, clothing suggestions based on the day's weather, and many other features. While maintaining the primary function of a traditional mirror, MagicMirror integrates advanced technology to enhance daily life, making it easier and more comfortable with the help of AI and technology.

The project involves data analysis and the conversion of raw data into charts and pictorial representations using Power BI as a tool. It focuses on an online store, covering segments such as orders, sales, profit, and shipping days. Sales data is segregated by payment mode, region, segment, subcategory, month, and shipping mode. This information is visually represented through charts, line graphs, and bar graphs, with geographical data depicted using Microsoft Bing. Additionally, the dashboard enables the forecasting of sales and the anticipation of demand in specific regions, allowing for better resource allocation and strategic planning.

The project focuses on data analysis and the transformation of raw data into visual representations using Microsoft Excel. It addresses an online store's performance across various segments, including orders, sales, profit, and shipping days. Sales data is meticulously categorized by payment mode, region, segment, subcategory, month, and shipping mode. This data is then visually depicted through various charts, line graphs, and bar graphs, with geographical information illustrated using Microsoft Bing. Furthermore, the dashboard facilitates the forecasting of sales and the prediction of demand in specific regions, enabling more efficient resource allocation and strategic planning.